Set membership identification of an excimer lamp for fast simulation

Excimer lamps are an efficient and sustainable source of ultra violet radiation, useful in water disinfection systems. In this paper black-box models of the electrical behavior and UV radiation process of an excimer lamp are estimated, employing Set Membership techniques. Approximations to the exact Set Membership model are derived, allowing reductions in the computational complexity of the system simulation. It is found that the obtained models allow faster simulations than the original Set Membership algorithm while maintaining good prediction capabilities, making them useful in power sources design.